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ICASSP
2010
IEEE
15 years 4 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
CVPR
2003
IEEE
15 years 10 months ago
A Perspective on Distortions
A framework for analyzing distortions in non-single viewpoint imaging systems is presented. Such systems possess loci of viewpoints called caustics. In general, perspective (or un...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
16 years 9 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela
ICASSP
2010
IEEE
15 years 3 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
SCIA
2007
Springer
178views Image Analysis» more  SCIA 2007»
15 years 10 months ago
Occluded Facial Expression Tracking
The work presented here takes place in the field of computer aided analysis of facial expressions displayed in sign language videos. We use Active Appearance Models to model a fac...
Hugo Mercier, Julien Peyras, Patrice Dalle